About
Machine Learning Engineer with 5+ years of experience translating Data Science research into scalable, production-grade Python. Strong command of object-oriented design, vectorized computation (NumPy, Pandas), and algorithm optimization for performance and scalability. Proven delivery within Agile/Scrum teams using CI/CD, Git, and automated testing across end-to-end ML pipelines.
Skills & Expertise (36)
Work Experience
Data Engineer / ML Engineer
Telecom Gateway LLC
Dec 2024 - May 2026
Implemented production forecasting and anomaly detection models in Python using vectorized NumPy/Pandas operations, achieving significant latency improvements over iterative baselines on high-volume telecom datasets. Developed reusable OOP Python modules for feature engineering, model inference, and post-processing, enabling consistent reuse across multiple analytics pipelines with minimal code duplication. Built CI/CD workflows (Docker, GitHub Actions) with automated unit and integration tests, ensuring algorithmic correctness across edge-case scenarios before each deployment. Collaborated with Data Science within Agile/Scrum sprints to translate experimental notebooks into production-ready Python services exposed via REST APIs.
Network Engineer / Data Engineer
Ericsson Inc.
May 2023 - Nov 2024
Deployed neural-network anomaly detection in production, optimizing throughput via vectorized preprocessing and batch prediction using NumPy and scikit-learn. Designed object-oriented Python pipeline libraries standardizing data extraction, transformation, and validation across multiple ML teams, reducing training dataset errors by 30%. Coordinated ML deliverables with analytics and Data Science stakeholders within Scrum cadences, using Git for versioning and code review across all ML components.
Data Science Intern
Ericsson Inc.
May 2022 - Aug 2022
Contributed to production ML pipelines (Pandas, NumPy, scikit-learn) with vectorized feature transformations and automated data quality checks, improving confidence in downstream model training. Applied OOP principles to modularize data preparation and evaluation code, improving maintainability and enabling reuse across model versions.
Data Science & Engineering Intern
AlphaDev Infotech Pvt. Ltd.
Jul 2019 - Aug 2021
Built predictive and anomaly detection models in Python (scikit-learn, Pandas, NumPy) using vectorized computation and OOP-structured pipelines, reducing incident response time by 25%. Deployed inference services via REST APIs on AWS EC2; built Tableau/Power BI dashboards to surface model outputs for executive stakeholders.
Education
Master of Science in Computer Science (Specialization in Data Science) - University of Texas at Dallas
2021 - 2023 · Afghanistan
Bachelor of Engineering in Information and Communication Technology - Gujarat Technological University
2017 - 2021 · Afghanistan
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Skills (36)
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